LuminanceL1Loss: A loss function which measures percieved brightness and colour differences
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Abstract (arXiv)
We introduce LuminanceL1Loss, a novel loss function designed to enhance the performance of image restoration tasks. We demonstrate its superiority over MSE when applied to the Retinexformer, BUIFD and DnCNN architectures. Our proposed LuminanceL1Loss leverages a unique approach by transforming images into grayscale and subsequently computing the MSE loss for both grayscale and color channels. Experimental results demonstrate that this innovative loss function consistently outperforms traditional methods, showcasing its potential in image denoising and other related tasks in image reconstruction. It demonstrates gains up to 4.7dB. The results presented in this study highlight the efficacy of LuminanceL1Loss for various image restoration tasks.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 16 of its 27 references that are in the map. First posted on arXiv 8 Nov 2023.
Builds on
16 of 27 references.
References · 16
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
- 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
- 2016Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoisingcited by 1,358
- 2020Pre-Trained Image Processing Transformercited by 893
- 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 866
- 2018Deep Retinex Decomposition for Low-Light Enhancementcited by 723
- 2019EnlightenGAN: Deep Light Enhancement without Paired Supervisioncited by 466
- 2019Kindling the Darkness: A Practical Low-light Image Enhancercited by 355
- 2020Learning Enriched Features for Real Image Restoration and Enhancementcited by 312
- 2023Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancementcited by 231
- 2015Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restorationcited by 195
- 2020Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-timecited by 163
4 more
- 2020DeepLPF: Deep Local Parametric Filters for Image Enhancementcited by 107
- 2019Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Softwarecited by 34
- 2019Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learningcited by 31
- 2021Training a Task-Specific Image Reconstruction Losscited by 16
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